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  "Title": "Lasso and Elastic-Net Penalized Cox's Regression in High\nDimensions Models using the Cocktail Algorithm",
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  "Authors@R": "c(\nperson(\"Yi\", \"Yang\", email = \"yi.yang6@mcgill.ca\",\nrole = c(\"aut\", \"cre\"), comment = \"http://www.math.mcgill.ca/yyang/\"),\nperson(\"Hui\", \"Zou\", email = \"hzou@stat.umn.edu\",\nrole = c(\"aut\"), comment = \"http://users.stat.umn.edu/~zouxx019/\")\n)",
  "Author": "Yi Yang [aut, cre] (http://www.math.mcgill.ca/yyang/), Hui Zou\n[aut] (http://users.stat.umn.edu/~zouxx019/)",
  "Maintainer": "Yi Yang <yi.yang6@mcgill.ca>",
  "Description": "We implement a cocktail algorithm, a good mixture of\ncoordinate decent, the majorization-minimization principle and\nthe strong rule, for computing the solution paths of the\nelastic net penalized Cox's proportional hazards model. The\npackage is an implementation of Yang, Y. and Zou, H. (2013)\n<doi:10.4310/SII.2013.v6.n2.a1>.",
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